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Found 3 papers, 2 papers with code
Single Stage Adaptive Multi-Attention Network for Image Restoration
In this paper, we propose a novel and computationally efficient architecture Single Stage Adaptive Multi-Attention Network (SSAMAN) for image restoration tasks, particularly for image denoising and image deblurring.
Ranked #1 on
Image Denoising
on DND
Brain Tumor Synthetic Data Generation with Adaptive StyleGANs
Furthermore, the model can generate high-quality synthetic brain MRI with a tumor that can limit the small sample size issues.
Guiding Attention using Partial-Order Relationships for Image Captioning
A pairwise ranking objective is used for training this embedding space which allows similar images, topics and captions in the shared semantic space to maintain a partial order in the visual-semantic hierarchy and hence, helps the model to produce more visually accurate captions.
